Lessons learned from developing SAWA: A situation awareness assistant

被引：0
|
作者：
Matheus, CJ [1 ]
Kokar, MM [1 ]
Baclawski, K [1 ]
Letkowski, JJ [1 ]
Call, C [1 ]
Hinman, M [1 ]
Salerno, J [1 ]
Boulware, D [1 ]
机构：
[1] Versatile Informat Syst, Framingham, MA USA
来源：
2005 7TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), VOLS 1 AND 2 | 2005年
关键词：
situation awareness; level-two fusion; ontologies; formal reasoning; OWL; SWRL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
SAWA is a Situation Awareness Assistant being developed by Versatile Information Systems, Inc. During the process of its development several lessons were learned about advantages and limitations of certain approaches, techniques and technologies as they are applied to situation awareness. This paper begins with an overview of SAWA and then focuses on some of the more significant lessons learned. These include the pros and cons of leveraging Semantic Web technologies, the handling of time-varying attributes and the processing of uncertainty.
引用
收藏
页码：969 / 976
页数：8
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